Optical character recognition (OCR) for code snippets
Coding Interview AI Solver
Real-Time AI Coding Interview Solver & Algorithm Assistant
Cracking algorithmic interviews requires quick recall of data structures and edge cases. Kairo identifies pattern matches instantly.
Fit signals
Review the role before you tailor anything
A fit score is a triage aid, not a hiring prediction. Use it to decide what deserves a closer read.
Algorithmic pattern matching (DP, Two Pointers, Graph Traversal)
Time and space complexity (Big-O) breakdown
A practical search plan
Build a smaller, higher-signal pipeline
Screen Capture Code Prompt
Press a hotkey to capture the LeetCode or CoderPad problem.
Review Algorithm Strategy
Read Kairo's high-level strategy and edge cases before coding.
Implement & Explain
Synthesize the solution into clean code while explaining your trade-offs.
What Kairo automates
- Searches a live jobs source using your role, location, and work-mode filters.
- Ranks results against the career profile and documents you choose to provide.
- Creates a role-specific CV draft from the job description when you request one.
What stays in your hands
- You decide which roles are worth pursuing and which listings to dismiss.
- You review every generated document before downloading or sending it.
- You open the employer's source page and complete the application yourself.
Review before you apply
Generated suggestions are drafts. Accuracy, eligibility, and final application choices always need your judgment.
- 1Always explain code trade-offs out loud to the interviewer.
- 2Double check edge cases like empty arrays and null inputs.
- 3Avoid blindly typing generated code without understanding execution flow.
Questions about this workflow
Does Kairo support Python, Java, C++, and TypeScript?
Yes, Kairo supports all major programming languages including Python, C++, Java, Go, TypeScript, and Rust.
Can Kairo analyze time complexity?
Yes, every suggested approach includes a Big-O time and space complexity explanation.
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